Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.2 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Domínguez
2
67 kgElliott
5
76 kgKelly
6
77 kgPeeters
11
76 kgVilamajo
12
70 kg
2
67 kgElliott
5
76 kgKelly
6
77 kgPeeters
11
76 kgVilamajo
12
70 kg
Weight (KG) →
Result →
77
67
2
12
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DOMÍNGUEZ Manuel Jorge | 67 |
| 5 | ELLIOTT Malcolm | 76 |
| 6 | KELLY Sean | 77 |
| 11 | PEETERS Wilfried | 76 |
| 12 | VILAMAJO Jaime | 70 |